#NOMOR 1

#Untuk P(X = 4)
eks <- function(x, lambda)(lambda*exp(-1)*(lambda*x))
eks(4, 0.17)
## [1] 0.04252686
#Untuk P(X <= 4)
cdfexp <- function(x, lambda = 0.17) {
  pdf <- function(t) {
    lambda * exp(-lambda * t)
  }
  hasil <- integrate(pdf, lower = 0, upper = x)
  return(hasil$value)
}
cdfexp(15, 0.17)
## [1] 0.9219183

NOMOR 2

uniform <- function(x, a=0, b=1){1/(b-a)}
uniform(6, a=2, b=10)
## [1] 0.125

NOMOR 3

norm <- function(x, miu, sigma)(1/(sigma*sqrt(2*pi))*exp(-1/2*((x-miu)/sigma)^2))
norm(4, 5, 1)
## [1] 0.2419707
dnorm(4, mean = 5, sd = 1)
## [1] 0.2419707